Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Experimental Environment
| Experimental Environment | Version |
|---|---|
| CPU | Intel Xeon E5-2698 |
| GPU | NVIDIA Tesla V100 32G |
| Language | Python 3.8 |
| Framework | Pytorch |
The success rate and accuracy of this method are compared with the SOTA method_ The red value in the table is highest, and green value is second highest_
| Models | Years | precision | success |
|---|---|---|---|
| SiamRPN | 2018 | 0.753 | 0.342 |
| SiamRPN++ | 2018 | 0.435 | 0.261 |
| SiamMask | 2019 | 0.569 | 0.278 |
| SiamBAN | 2020 | 0.784 | 0.497 |
| SiamCar | 2022 | 0.769 | 0.502 |
| Ours | - | 0.803 | 0.549 |